Literature DB >> 31062051

The use of clustering algorithms in critical care research to unravel patient heterogeneity.

José Castela Forte1,2, Anders Perner3, Iwan C C van der Horst4.   

Abstract

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Year:  2019        PMID： 31062051     DOI： 10.1007/s00134-019-05631-z

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  10 in total

1.  Stability-based validation of clustering solutions.

Authors:  Tilman Lange; Volker Roth; Mikio L Braun; Joachim M Buhmann
Journal:  Neural Comput       Date:  2004-06       Impact factor: 2.026

Review 2.  Phenotypes in acute respiratory distress syndrome: moving towards precision medicine.

Authors:  Pratik Sinha; Carolyn S Calfee
Journal:  Curr Opin Crit Care       Date:  2019-02       Impact factor: 3.687

3.  Cardiovascular clusters in septic shock combining clinical and echocardiographic parameters: a post hoc analysis.

Authors:  Guillaume Geri; Philippe Vignon; Alix Aubry; Anne-Laure Fedou; Cyril Charron; Stein Silva; Xavier Repessé; Antoine Vieillard-Baron
Journal:  Intensive Care Med       Date:  2019-03-19       Impact factor: 17.440

4.  Targeted use of growth mixture modeling: a learning perspective.

Authors:  Booil Jo; Robert L Findling; Chen-Pin Wang; Trevor J Hastie; Eric A Youngstrom; L Eugene Arnold; Mary A Fristad; Sarah McCue Horwitz
Journal:  Stat Med       Date:  2016-11-02       Impact factor: 2.373

5.  Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach.

Authors:  Kelly C Vranas; Jeffrey K Jopling; Timothy E Sweeney; Meghan C Ramsey; Arnold S Milstein; Christopher G Slatore; Gabriel J Escobar; Vincent X Liu
Journal:  Crit Care Med       Date:  2017-10       Impact factor: 7.598

6.  Acute respiratory distress syndrome subphenotypes and differential response to simvastatin: secondary analysis of a randomised controlled trial.

Authors:  Carolyn S Calfee; Kevin L Delucchi; Pratik Sinha; Michael A Matthay; Jonathan Hackett; Manu Shankar-Hari; Cliona McDowell; John G Laffey; Cecilia M O'Kane; Daniel F McAuley
Journal:  Lancet Respir Med       Date:  2018-08-02       Impact factor: 30.700

7.  Multiview Cluster Analysis Identifies Variable Corticosteroid Response Phenotypes in Severe Asthma.

Authors:  Wei Wu; Seojin Bang; Eugene R Bleecker; Mario Castro; Loren Denlinger; Serpil C Erzurum; John V Fahy; Anne M Fitzpatrick; Benjamin M Gaston; Annette T Hastie; Elliot Israel; Nizar N Jarjour; Bruce D Levy; David T Mauger; Deborah A Meyers; Wendy C Moore; Michael Peters; Brenda R Phillips; Wanda Phipatanakul; Ronald L Sorkness; Sally E Wenzel
Journal:  Am J Respir Crit Care Med       Date:  2019-06-01       Impact factor: 21.405

8.  Identification of Acute Kidney Injury Subphenotypes with Differing Molecular Signatures and Responses to Vasopressin Therapy.

Authors:  Pavan K Bhatraju; Leila R Zelnick; Jerald Herting; Ronit Katz; Carmen Mikacenic; Susanna Kosamo; Eric D Morrell; Cassianne Robinson-Cohen; Carolyn S Calfee; Jason D Christie; Kathleen D Liu; Michael A Matthay; William O Hahn; Victoria Dmyterko; Natalie S J Slivinski; Jim A Russell; Keith R Walley; David C Christiani; W Conrad Liles; Jonathan Himmelfarb; Mark M Wurfel
Journal:  Am J Respir Crit Care Med       Date:  2019-04-01       Impact factor: 21.405

Review 9.  Computational cluster validation in post-genomic data analysis.

Authors:  Julia Handl; Joshua Knowles; Douglas B Kell
Journal:  Bioinformatics       Date:  2005-05-24       Impact factor: 6.937

10.  Latent class analysis of ARDS subphenotypes: a secondary analysis of the statins for acutely injured lungs from sepsis (SAILS) study.

Authors:  Pratik Sinha; Kevin L Delucchi; B Taylor Thompson; Daniel F McAuley; Michael A Matthay; Carolyn S Calfee
Journal:  Intensive Care Med       Date:  2018-10-05       Impact factor: 17.440
  10 in total
  11 in total

1.  Electronic nudge tool technology used in the critical care and peri-anaesthetic setting: a scoping review protocol.

Authors:  Lisa McIlmurray; Bronagh Blackwood; Martin Dempster; Frank Kee; Charles Gillan; Rachael Hagan; Lynne Lohfeld; Murali Shyamsundar
Journal:  BMJ Open       Date:  2022-07-12       Impact factor: 3.006

2.  Focus on clinical trial interpretation.

Authors:  Morten Hylander Møller; Lennie P G Derde; Rob Mac Sweeney
Journal:  Intensive Care Med       Date:  2020-03-12       Impact factor: 17.440

3.  Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering.

Authors:  José Castela Forte; Galiya Yeshmagambetova; Maureen L van der Grinten; Bart Hiemstra; Thomas Kaufmann; Ruben J Eck; Frederik Keus; Anne H Epema; Marco A Wiering; Iwan C C van der Horst
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

4.  Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learning.

Authors:  Sam F Greenbury; Kayleigh Ougham; Jinyi Wu; Cheryl Battersby; Chris Gale; Neena Modi; Elsa D Angelini
Journal:  Sci Rep       Date:  2021-03-30       Impact factor: 4.379

5.  Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials.

Authors:  Abhijit Duggal; Rachel Kast; Emily Van Ark; Lucas Bulgarelli; Matthew T Siuba; Jeff Osborn; Diego Ariel Rey; Fernando G Zampieri; Alexandre Biasi Cavalcanti; Israel Maia; Denise M Paisani; Ligia N Laranjeira; Ary Serpa Neto; Rodrigo Octávio Deliberato
Journal:  BMJ Open       Date:  2022-01-06       Impact factor: 2.692

6.  Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage.

Authors:  Maddalena Alessandra Wu; Gianluca Lopez; Manuela Nebuloni; Davide Ottolina; Jonathan Montomoli; Luca Carsana; Tommaso Fossali; Antonio Castelli; Roberto Rech; Chiara Cogliati; Emanuele Catena; Riccardo Colombo
Journal:  Crit Care       Date:  2021-12-13       Impact factor: 9.097

7.  Characterizing preclinical sub-phenotypic models of acute respiratory distress syndrome: An experimental ovine study.

Authors:  Jonathan E Millar; Karin Wildi; Nicole Bartnikowski; Mahe Bouquet; Kieran Hyslop; Margaret R Passmore; Katrina K Ki; Louise E See Hoe; Nchafatso G Obonyo; Lucile Neyton; Sanne Pedersen; Sacha Rozencwajg; J Kenneth Baillie; Gianluigi Li Bassi; Jacky Y Suen; Daniel F McAuley; John F Fraser
Journal:  Physiol Rep       Date:  2021-10

8.  Clustering analysis of geriatric and acute characteristics in a cohort of very old patients on admission to ICU.

Authors:  Oded Mousai; Lola Tafoureau; Tamar Yovell; Hans Flaatten; Bertrand Guidet; Christian Jung; Dylan de Lange; Susannah Leaver; Wojciech Szczeklik; Jesper Fjolner; Peter Vernon van Heerden; Leo Joskowicz; Michael Beil; Gal Hyams; Sigal Sviri
Journal:  Intensive Care Med       Date:  2022-09-02       Impact factor: 41.787

Review 9.  Metabolic aspects of muscle wasting during critical illness.

Authors:  Robert J J van Gassel; Michelle R Baggerman; Marcel C G van de Poll
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2020-03       Impact factor: 3.620

10.  Clinical and biological clusters of sepsis patients using hierarchical clustering.

Authors:  Grégory Papin; Sébastien Bailly; Claire Dupuis; Stéphane Ruckly; Marc Gainnier; Laurent Argaud; Elie Azoulay; Christophe Adrie; Bertrand Souweine; Dany Goldgran-Toledano; Guillaume Marcotte; Antoine Gros; Jean Reignier; Bruno Mourvillier; Jean-Marie Forel; Romain Sonneville; Anne-Sylvie Dumenil; Michael Darmon; Maité Garrouste-Orgeas; Carole Schwebel; Jean-François Timsit
Journal:  PLoS One       Date:  2021-08-04       Impact factor: 3.240
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